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Abstract #3383

Evaluation of gray matter degeneration in Parkinson’s disease by using neurite-orientation dispersion and density imaging: Analysis by gray matter-based spatial statistics

Koji Kamagata1, Kouhei Tsuruta2, Taku Hatano3, Keigo Shimoji4, Masaaki Hori1, Ayami Okuzumi3, Misaki Nakazawa2, Syo Murata2, Ryo Ueda2, and Shigeki Aoki1

1Department of Radiology, Juntendo University, Tokyo, Japan, 2Department of Radiological Sciences, Tokyo Metropolitan University, Tokyo, Japan, 3Department of Neurology, Juntendo University, Tokyo, Japan, 4Department of Diagnostic Radiology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan

In this study, neurite-orientation dispersion and density imaging were used to estimate structural changes of neurites in the gray matter of the brain, which is the earliest pathological change in patients with PD. The results showed a significant decrease in the intracellular volume fraction in the right amygdala and right putamen in PD, suggesting a decrease in neurite density that may reflect actual pathological change. Given that NODDI could detect pathological changes at the earliest stages in PD, it may be useful for early diagnosis.

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